Evidence map›Paper›PMID 34663396›Full record

ArticleScandinavian journal of trauma, resuscitation and emergency medicine2021

Helicopter emergency medical services missions to islands and the mainland during a 3-year period in Denmark: a population-based study on patient and sociodemographic characteristics, comorbidity, and use of healthcare services.

Thea Palsgaard Møller, Annette Kjær Ersbøll, Thora Majlund Kjærulff, Kristine Bihrmann, Karen Alstrup, Lars Knudsen, Troels Martin Hansen, Peter Anthony Berlac, Freddy Lippert, Charlotte Barfod

Open access · goldAbstract read
In one paragraph

Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Thea Palsgaard MøllerCopenhagen Emergency Medical Services and University of Copenhagen, Copenhagen, Denmark. tpm@dadlnet.dk.ORCID http://orcid.org/0000-0001-7658-2447
Annette Kjær ErsbøllNational Institute of Public Health, University of Southern Denmark, Odense, Denmark.
Thora Majlund KjærulffNational Institute of Public Health, University of Southern Denmark, Odense, Denmark.
Kristine BihrmannNational Institute of Public Health, University of Southern Denmark, Odense, Denmark.
Karen AlstrupDepartment of Research and Development, Pre-Hospital Emergency Medical Services, Central Denmark Region, Aarhus, Denmark.
Lars KnudsenDepartment of Anesthesiology, Aarhus University Hospital, Aarhus, Denmark.
Troels Martin HansenThe Danish Air Ambulance, Aarhus, Denmark.
Peter Anthony BerlacCopenhagen Emergency Medical Services and University of Copenhagen, Copenhagen, Denmark.
Freddy LippertCopenhagen Emergency Medical Services and University of Copenhagen, Copenhagen, Denmark.
Charlotte BarfodCopenhagen Emergency Medical Services and University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DKUniversity of Southern Denmark · DKAarhus University Hospital · DKCentral Denmark Region · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Danish Helicopter Emergency Medical Services (HEMS) is part of the Danish Emergency Medical Services System serving 5.7 million citizens with 1% living on islands not connected to the mainland by road. HEMS is dispatched based on pre-defined criteria including severity and urgency, and moreover to islands for less urgent cases, when rapid transport to further care is needed. The study aim was to characterize patient and sociodemographic factors, comorbidity and use of healthcare services for patients with HEMS missions to islands versus mainland.

methodsDescriptive study of data from the HEMS database in a three-year period from 1 October 2014 to 30 September 2017. All missions in which a patient was either treated on scene or transported by HEMS were included.

resultsOf 5776 included HEMS missions, 1023 (17.7%) were island missions. In total, 90.2% of island missions resulted in patient transport by HEMS compared with 62.1% of missions to the mainland. Disease severity was serious or life-threatening in 34.7% of missions to islands compared with 65.1% of missions to mainland and less interventions were performed by HEMS on island missions. The disease pattern differed with more "Other diseases" registered on islands compared with the mainland where cardiovascular diseases and trauma were the leading causes of contact. Patients from islands were older than patients from the mainland. Sociodemographic characteristics varied between inhabiting island patients and mainland patients: more island patients lived alone, less were employed, more were retired, and more had low income. In addition, residing island patients had to a higher extend severe comorbidity and more contacts to general practitioners and hospitals compared with the mainland patients.

conclusionsHEMS missions to islands count for 17.7% of HEMS missions and 90.2% of island missions result in patient transport. The island patients encountered by HEMS are less severely diseased or injured and interventions are less frequently performed. Residing island patients are older than mainland patients and have lower socioeconomic position, more comorbidities and a higher use of health care services. Whether these socio-economic differences result in longer hospital stay or higher mortality is still to be investigated.

Indexed as

Air AmbulancesEmergency Medical ServicesAircraftComorbidityDelivery of Health CareDenmarkHumansIslandsHealth planningHelicopter EMSMedical dispatchPrehospital careResource utilization

Identifiers

PMID34663396
PMCPMC8522108
OpenAlexW3205808307

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.